How AI And LLMs Are Redefining Demand Forecasting In The Automotive Aftermarket

AI models can process thousands of factors simultaneously, including demand signals across multiple items, macroeconomic ...
Retail TouchPoints

Machine Learning-Based Demand Forecasting For Fast Adaptability To Changes

Demand forecasting methods have been used in retail for a long time. Most of them are based on historical data, which is no longer useful in the new COVID-19 reality. If you used an ML-powered demand ...
Business Wire

Predicting Industry Demands with the Help of Demand Forecasting Methods - An Analytics Case Study by Quantzig

LONDON--(BUSINESS WIRE)--Quantzig, a pure-play analytics solutions provider, has announced the completion of their latest demand forecasting study for a farm equipment company. The client is a ...
EurekAlert!

Detecting electricity demand patterns using a new method for high-dimensional binary data

Researchers at Institute of Science Tokyo have developed a novel Group Encoding method that accurately forecasts electricity demand using only On/Off device data from building energy systems. Tested ...
Business Wire

Demand Forecasting in Retail: Quantzig Reveals Top Trends Impacting Future Growth

LONDON--(BUSINESS WIRE)--Quantzig, a global data analytics and advisory firm, that delivers actionable analytics solutions to resolve complex business problems has announced the completion of its ...
Houston Chronicle

The Forecasting Method for Swimwear

Swimwear sales vary based on the business location, economy, season and customer demographics, so forecasting demand can be complicated. Businesses can forecast sales and demand several different ways ...